IBM Ties Intelligent Operations to Agent Safety and Business Value
By Victoria Gayton
Intelligent operations begin with a business question: What should artificial intelligence help an enterprise accomplish? As agents take on more work, organizations need an operating model that connects their actions to customer outcomes, infrastructure dependencies, and financial accountability.
IBM Corp.'s approach brings automation, data, and operational signals into this broader framework. Moving beyond isolated projects requires teams to consider how their work fits across the business, according to Tyler Lynch, Outbound Chief Technology Officer of IBM Automation Portfolio.
“First off, instead of just being a developer or whatever that is, take a step back and think about capabilities and outcomes that you want to deliver for your customers and your clients,” he said. “That’s where we should all be starting. It’s going to have multidisciplinary pillars, and that’s what we should all be doing.”
Lynch spoke with theCUBE Research’s Dave Vellante and John Furrier for IBM’s AI Operating Model interview series on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed agent controls, infrastructure context, and measuring AI value ahead of IBM TechXchange 2026.
Agent Safety and Financial Risk
Building on IBM’s focus on enterprise AI orchestration and production readiness, agent oversight must account for how people deploy and use these systems. No single approach fits every working environment, Lynch explained.
“We have agents that are deployed that are operating like applications, and some are autonomous, some are not, and some are delegated,” he said. “But then we have local agents, what I would consider co-work agents. This could be your coding agent. Those are very different modalities from authorization, logging, and telemetry, and no one’s nailed it yet.”
IBM supports Nvidia Corp.’s Open Agent Safety Platform, contributing enterprise capabilities spanning agent identity, credentials, and hybrid infrastructure. Lynch’s discussions with the team at Apptio Inc., an IBM company, have also raised questions about extending agent safety into financial oversight.
“We can now start to emit telemetry directly out of these agents for token usage in and out,” he said. “Why can’t we have policies evaluate that just like we do for [identity threat detection and response] and maybe revoke an agent’s [application programming interface] key so it can stop? Put it in the corner until a human can go look at it.”
Shared Infrastructure Context for Intelligent Operations
Acting on operational signals also requires understanding the environment an agent might change. HashiCorp Inc.’s Infragraph is now available to eligible Terraform customers on a limited basis.
“Infragraph is a graph-based representation of your infrastructure, but we’re extending it to not just be about infrastructure but also about operational signals, and how they can help you drive operations and policy,” Lynch said.